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My research activities lie in computational behaviour analytics in wearable, mobile and ubiquitous computing. The use of machine learning techniques, miniature sensors, and online data sources to recognize and understand human behaviours, activities, and context. Including social interactions and cognitive-affective states. More fundamentally, it enables implicit HCI. I emphasize novel sensing modalities a.
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We identified that opportunity-project.eu is using the Apache/2.4.10 (Debian) os.SITE TITLE
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Opportunistic activity recognition goal-oriented sensor assemblies spontaneously arise and self-organize to achieve a common activity and context recognition. We develop algorithms and architectures underlying context recognition in opportunistic systemsPARSED CONTENT
The website states the following, "Activity and Context Recognition with Opportunistic Sensor Configurations." I analyzed that the web site also stated " We envision opportunistic activity recognition systems." They also stated " They are goal-oriented sensor assemblies. To achieve a common goal. Here activity and context recognition. The objective of OPPORTUNITY is to develop generic principles, algorithms and system architectures. To reliably recognize complex activities. And contexts despite the absence of static assumptions about sensor availability and characteristics." The meta header had wearable computing as the first search term. This keyword was followed by pervasive computing, ubiquitous computing, and ambient intelligence which isn't as important as wearable computing. The other words they uses is machine learning. mobile computing is also included and might not be understood by web engines.SEE OTHER BUSINESSES
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